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International Journal for Multiscale Computational Engineering

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 1543-1649

ISSN Online: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

A Procedure for Modeling Multibody Systems Using Subsystem Models

Volumen 1, Ausgabe 2&3, 2003, 22 pages
DOI: 10.1615/IntJMultCompEng.v1.i23.30
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ABSTRAKT

With the increasing use of microprocessors to control multibody systems, the inclusion of both analogue and digital electronic components in multibody formulations has become one of the challenges facing the multibody community. Models of mechanical systems that incorporate these types of components are referred to as "mechatronic" systems, while multibody systems incorporating only analogue components are dubbed "electromechanical" systems. Traditional approaches to modeling such systems can be very time-intensive and result in extremely complex equations. The following article proposes a method for efficiently generating the governing symbolic equations for an electromechanical multibody system. The key to the proposed approach lies in exploiting the topology of a given system by applying subsystems derived using a newly developed extension to linear graph theory. Exploiting the topology in this manner accommodates parallel formulation strategies and helps to clarify and organize the system level models, thereby increasing the efficiency of the modeling process and subsequent numerical simulations. In addition, because the subsystem models are developed using a linear graph formulation, it is shown that they naturally combine with graph models of electrical subsystems to model electromechanical systems.

REFERENZIERT VON
  1. Li Yingzhe, Lin Zhongqin, Wang Hao, Chen Yong, An automated modelling approach for dynamic performance evaluation of mechatronic multibody systems, Mathematical and Computer Modelling of Dynamical Systems, 13, 6, 2007. Crossref

  2. Li Yingzhe, Lin Zhongqin, Wang Hao, Chen Yong, Automatic Generation of Component-level Dynamic Equations Using Extensible Element Linear Graph Method, 2006 IEEE International Conference on Automation Science and Engineering, 2006. Crossref

  3. DynaFlexPro for Maple, IEEE Control Systems, 26, 6, 2006. Crossref

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